[R] Trend value from smoothing spline trend fit

[Dileepkumar R]

Thank you for your reply.

Yes, we can get the curve fit values on the line (as the length of input
data frame) from predict.gam() function.  But I wish to get the trend value
(in Trends in °C per decade or °C per year) as given in the Box 2.2, Table
1.  But I couldn't find any option in GAM method.

Actually on of the reviewer of my paper suggested me to estimate the
non-linear trend as given in this Box 2.2, Table 1 and Figure 1.



Dileepkumar R



On Tue, Aug 11, 2020 at 8:01 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:

> Caveat: Did not look at any of your links.
>
> However, the usual answer for this sort of question is ?predict.gam  (in
> general, predict.whatevermethod)
> Have you consulted the man page? If this is not what you want, you may
> need to explain more carefully.
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Tue, Aug 11, 2020 at 5:21 AM Dileepkumar R <dileepkunjaai using gmail.com>
> wrote:
>
>> Dear All,
>>
>> I am trying to estimate the non -linear trend value from smooth spline
>> trend fit (using the generalized additive model (GAM)).
>>
>> I want to estimate the trend value from a temperature dataset (spatial
>> averaged annual meantime from 1906 to 2005) as given in the Box 2.2, Table
>> 1  in the attached Google doc pdf.  (That pages are from  IPCC Assessment
>> Report 5 chapter 2
>> <
>> https://www.ipcc.ch/site/assets/uploads/2017/09/WG1AR5_Chapter02_FINAL.pdf
>> >,
>> page number 21-22 )
>>
>> I do not understand how they estimate the single value trend with 95%
>> confidence interval from a time-series data as given in the Box 2.2,
>> Figure
>> 1.  Is there any easy way to extract the trend value using mgcv library of
>> R.?
>>
>> Google Doc Link:
>>
>> https://drive.google.com/file/d/1z3XLW-154dsZE6GrvQ4rH_fev9lqdsho/view?usp=sharing
>>
>> Thank you all in advance
>>
>> Dileepkumar R
>>
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>>
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